Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Intelligent Computing and Health Informatics (JICHI)
Aidil Halim Lubis
Universitas Islam Negeri Sumatera Utara Medan
Arts Humanities Computer Science & IT Dentistry Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Intelligent Computing and Health Informatics (JICHI)

 1 
Islamophobia Sentiment Classification Using Support Vector Machine Aidil Halim Lubis
Journal of Intelligent Computing and Health Informatics (JICHI) Vol 3, No 2 (2022): September
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v3i2.11179

Abstract

Sentiment analysis is the process of understanding and classifying words into several categories. It is also known as opinion mining, which involves exploring opinions and emotions from text data. Sentiments can be classified into positive, negative, and neutral categories. Islam is a religion that has been in existence for centuries. Its teachings aim to foster peace and surrender to its creator, namely Allah SWT. The constructivist view of Islam has given rise to Islamophobia, which is the result of a long-standing construct that presents a negative image of Islam. Currently, Islamophobia is a growing issue that generates diverse views, especially on social media platforms. The analysis was conducted using the SVM algorithm and a dataset comprising 1000 tweets sourced from Twitter. The algorithm achieved an accuracy rate of 99.99% after testing, indicating its suitability for sentiment analysis. The error rate generated using MSE was 0.010, while the RMSE was 0.099.
Co-Authors Abdul Halim Hasugian Ali Darta Mhd Ikhsan Rifki Muhammad Siddik Hasibuan Suhardi Suhardi Yusuf Ramadhan Nasution